Academic Journal

Identification and Estimation of Online Price Competition with an Unknown Number of Firms ∗

التفاصيل البيبلوغرافية
العنوان: Identification and Estimation of Online Price Competition with an Unknown Number of Firms ∗
المؤلفون: Yonghong An, Michael R. Baye, Yingyao Hu, Johns Hopkins, John Morgan, Matt Shum
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.econ2.jhu.edu/people/hu/E_Retail_Markets_2012.pdf.
سنة النشر: 2012
المجموعة: CiteSeerX
مصطلحات موضوعية: E-Retail Markets, Nonparametric Identification, Structural Estimation
الوصف: This paper considers identification and estimation of a general model for online price competition. We show that when the number of competing firms is unknown, the underlying parameters of the model can still be identified and estimated employing recently developed results on measurement error. With the estimates of model parameters, we are able to analyze the competitive effects of online competition when the number of firms changes. We illustrate our methodology using UK data for personal digital assistants and employ the estimates to simulate competitive effects. Our results reveal that heightened competition has differential effects on the prices paid by different consumer segments.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.433.1492; http://www.econ2.jhu.edu/people/hu/E_Retail_Markets_2012.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.433.1492
http://www.econ2.jhu.edu/people/hu/E_Retail_Markets_2012.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.1C0B9BF3
قاعدة البيانات: BASE